plot_model_summary( plot_series, model_table="model_summary.csv", log_scale_x=True, allow_extras=['mae_in1k_ft1k'] ) Code format is using line-length=160: find ./* -name "*.py" | grep -v __init__ | xargs -I {} black -l 160 {} ...
pip install torchtoolbox Cutout实现,在transforms中。 fromtorchtoolbox.transformimportCutout# 数据预处理transform=transforms.Compose([transforms.Resize((224,224)),Cutout(),transforms.ToTensor(),transforms.Normalize([0.5,0.5,0.5],[0.5,0.5,0.5])]) 需要导入包:from timm.data.mixup import Mixup, 定义Mi...
ModelParamsFLOPsInputTop1 AccT4 Inference BeitV2BasePatch16 86.53M 17.61G 224 85.5 322.52 qps - 21k_ft1k 86.53M 17.61G 224 86.5 322.52 qps BeitV2LargePatch16 304.43M 61.68G 224 87.3 105.734 qps - 21k_ft1k 304.43M 61.68G 224 88.4 105.734 qps...
实现这两种增强需要安装torchtoolbox。安装命令: pip install torchtoolbox Cutout实现,在transforms中。 fromtorchtoolbox.transformimportCutout# 数据预处理transform=transforms.Compose([transforms.Resize((224,224)),Cutout(),transforms.ToTensor(),transforms.Normalize([0.5,0.5,0.5],[0.5,0.5,0.5])]) 需要导入...
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model_v=msd[k].detach()ifself.device:model_v=model_v.to(device=self.device)ema_v.copy_(ema_v*self.decay+(1.-self.decay)*model_v) 加入到模型中。 #初始化ifuse_ema:model_ema=ModelEma(model_ft,decay=model_ema_decay,device='cpu',resume=resume)# 训练过程中,更新完参数后,同步update sh...
- imagenet21k-ft1k 56M 13.2G 224 86.6 caformer_m36_224_21k.h5 56M 42.0G 384 86.2 caformer_m36_384_imagenet.h5 - imagenet21k-ft1k 56M 42.0G 384 87.5 caformer_m36_384_21k.h5 CAFormerB36 99M 23.2G 224 85.5 caformer_b36_224_imagenet.h5 - imagenet21k-ft1k 99M 23.2G 224 87....
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